How to assess the benefits of connected vehicles? A simulation framework for the design of cooperative traffic management strategies |
| |
| Institution: | 1. Traffic Engineering Laboratory (LICIT), Université de Lyon, F-69000 Lyon, France, IFSTTAR, LICIT, F-69675 Bron, ENTPE, LICIT, F-69518 Vaulx En Velin, France;2. Institut Mines-Télécom, Télécom Bretagne, UMR CNRS 6285 Lab-STICC, Technopôle Brest Iroise, CS 83818, 29238 Brest Cedex 3, France;3. Trinity College Dublin, School of Computer Science and Statistics, Distributed Systems Group, Ireland;4. Laboratoire d’InfoRmatique en Image et Systèmes d’information, Université de Lyon, France;1. College of Computer and Information Science, Southwest University, Chongqing 400715, China;2. Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education, Chongqing University, Chongqing 400044, China;3. College of Automation, Chongqing University, Chongqing 400044, China;4. College of Computer Science, Chongqing University, Chongqing 400044, China;1. School of Sustainable Engineering and the Built Environment, Arizona State University, USA;2. Department of Civil, Construction and Environmental Engineering, North Carolina State University, USA;3. Department of Civil and Environmental Engineering, University of Utah, USA;4. Institute for Transportation Research and Education (ITRE), Department of Civil, Construction and Environmental Engineering, North Carolina State University, USA;1. Department of Civil Engineering and School of Community and Regional Planning, The University of British Columbia, 2029 – 6250 Applied Science Lane, Vancouver BC V6T 1Z4, Canada;2. Air Health Effects Assessment Division, Water and Air Quality Bureau Health Canada, 269, Laurier Ave. West, Ottawa, ON, K1A 0K9, Canada |
| |
| Abstract: | Advances in Information and Communication Technologies (ICT) allow the transportation community to foresee dramatic improvements for the incoming years in terms of a more efficient, environmental friendly and safe traffic management. In that context, new ITS paradigms like Cooperative Systems (C-ITS) enable an efficient traffic state estimation and traffic control. C-ITS refers to three levels of cooperation between vehicles and infrastructure: (i) equipped vehicles with Advanced Driver Assistance Systems (ADAS) adjusting their motion to surrounding traffic conditions; (ii) information exchange with the infrastructure; (iii) vehicle-to-vehicle communication. Therefore, C-ITS makes it possible to go a step further in providing real time information and tailored control strategies to specific drivers. As a response to an expected increasing penetration rate of these systems, traffic managers and researchers have to come up with new methodologies that override the classic methods of traffic modeling and control. In this paper, we discuss some potentialities of C-ITS for traffic management with the methodological issues following the expansion of such systems. Cooperative traffic models are introduced into an open-source traffic simulator. The resulting simulation framework is robust and able to assess potential benefits of cooperative traffic control strategies in different traffic configurations. |
| |
| Keywords: | Cooperative vehicles Traffic management C-ITS Simulation Modeling Data mining |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
